Village Dynamics Studies in South Asia (VDSA) datasets have been generated by ICRISAT’s resident field investigators who lived in the villages to periodically revisit the same households over the years (2001-2014). ICRISAT Economics Program initiated the Village Level Studies(VLS) in two villages of Telangana (Aurepalle and Dokur). The aim was to understand the traditional methods of farming in the SAT region. This dataset contains details on General Endowment Schedule (GES) in these villages during the study period. GES for information on resource endowments (family composition, land, livestock, farm implements, residential building, consumer durables, stock inventory, debt and credit) of the household; role of gender in ownership and decision making; coping mechanisms adopted by the household during drought years.

Village Dynamics Studies in South Asia (VDSA) datasets have been generated by ICRISAT’s resident field investigators who lived in the villages to periodically revisit the same households over the years (2001-2014). ICRISAT Economics Program initiated the Village Level Studies(VLS) in two villages of Telangana (Aurepalle and Dokur). The aim was to understand the traditional methods of farming in the SAT region. This dataset contains details on General Endowment Schedule (GES) in these villages during the study period. GES for information on resource endowments (family composition, land, livestock, farm implements, residential building, consumer durables, stock inventory, debt and credit) of the household; role of gender in ownership and decision making; coping mechanisms adopted by the household during drought years.

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These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper data citation. Disclaimer Whilst utmost care has been taken by ICRISAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, ICRISAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. By using the ICRISAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data.

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Terms of Use

These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper data citation. Disclaimer Whilst utmost care has been taken by ICRISAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, ICRISAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. By using the ICRISAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data.

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Terms of Use

These data and documents are licensed under a Creative Commons Attribution 4.0 International license. You may copy, distribute and transmit the data as long as you acknowledge the source through proper data citation. Disclaimer Whilst utmost care has been taken by ICRISAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, ICRISAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. By using the ICRISAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data.